Experimental Research on Badminton Teaching of Physical Education Major Based on Deep Learning in the Multimedia Environment.

There are many problems in the routine badminton teaching; there are mainly three aspects in college teaching. One is that the hardware equipment related to badminton is not enough; the second is that the badminton teaching does not meet the educational goals; the third is that the participation of college students is not high, which is no longer suitable for the current practical teaching. In order to improve the teaching method of badminton and improve the students' special performance of badminton, this paper studies the teaching of badminton based on multimedia environment. 82 students majoring in badminton were randomly divided into two classes. The experimental class ( = 41) used multimedia badminton teaching, and the control class ( = 41) used traditional badminton teaching, which lasted for one semester. Before and after the experiment, the students' physical fitness and badminton performance were tested. And the two classes of students were to send questionnaires to investigate interest in learning badminton and teaching satisfaction. The results of standing long jump, 50 m, and 800 m of the experimental class were improved by 0.2 m, 1.13s, and 16.25s, respectively. This shows that the physical quality and badminton performance of the experimental class under the multimedia environment are better than those of the control class under the general teaching. In the experimental class, 16 students are very interested in learning badminton, and 22 students are very satisfied with the multimedia teaching method; in the control class, only 9 students are very interested in learning badminton, and only 13 students are very satisfied with the traditional teaching method, which shows that the interest and satisfaction of students in the experimental class under the multimedia environment are higher than those in the control class under the traditional teaching.